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Volume 46 Issue 9
Sep.  2024
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QI Donglian, YAN Weidan, YAN Yunfeng, PENG Jishen, GUO Bingyan. A Review of Research Methods on Event Knowledge Graph for Power Dispatching[J]. Journal of Electronics & Information Technology, 2024, 46(9): 3456-3466. doi: 10.11999/JEIT240167
Citation: QI Donglian, YAN Weidan, YAN Yunfeng, PENG Jishen, GUO Bingyan. A Review of Research Methods on Event Knowledge Graph for Power Dispatching[J]. Journal of Electronics & Information Technology, 2024, 46(9): 3456-3466. doi: 10.11999/JEIT240167

A Review of Research Methods on Event Knowledge Graph for Power Dispatching

doi: 10.11999/JEIT240167
  • Received Date: 2024-03-13
  • Rev Recd Date: 2024-07-16
  • Available Online: 2024-08-02
  • Publish Date: 2024-09-26
  • Event Knowledge Graph (EKG) is a special knowledge graph that can learn the evolution laws of events, which has the functions of reasoning and prediction. In view of the characteristics of large amount of data, multiple modes and interactive coupling of power dispatching business, this paper describes in detail the dataset construction, mainstream methods, technical architecture, evaluation indexes, and applicable scenarios of the event knowledge graph for power dispatching, focuses on the feasibility of each scenario, and gives solutions in terms of application process, input and output, technical architecture, etc., and finally looks forward to the difficulties and possible research directions faced in the long-term development of power dispatching business. This paper provides a reference for the study of the characteristics of the field of power dispatching, the advantages of event knowledge graph and the combination of the two, and provides a guiding idea for the application direction of event knowledge graph in the field of power dispatching.
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